Dataset Summary

This dataset was obtained from the original CycleGAN Datasets directory available on Berkeley's website .

For more details about the dataset you can refer to the original CycleGAN publication .

How to use

You can easily load the dataset with the following lines :

from datasets import load_dataset

data_horses = load_dataset("gigant/horse2zebra", name="horse", split="train")
data_zebras = load_dataset("gigant/horse2zebra", name="zebra", split="train")

Two splits are available, "train" and "test"

Citation Information

@inproceedings{CycleGAN2017,
  title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks},
  author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
  booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
  year={2017}
}